metadata
Dataset_Metadata:
General_Information:
Title: Concise and descriptive name of the dataset.
Description: >-
A brief summary explaining the dataset’s purpose, contents, and potential
applications. Max 250 chars.
Creator: >-
Name of the individual or organization primarily responsible for creating
the dataset.
DOI_or_Other_Identifiers: >-
A digital object identifier (DOI) or other unique identifiers if
applicable.
Intended_Use:
Description: >-
For detailed descriptions of what the dataset is intended for, including
specific use cases envisioned by the creators (training, finetuning,
evaluating, etc.) and instruction on how to load/store and use the data,
follow this link:
Link: URL to documentation or webpage.
Access_and_Usage:
Access_Rights: Descriptions of who can access the data and under what conditions.
License:
Description: >-
Specific licensing information, select preferably from the list provided
or use N/A if not found.
Choices:
- GPL
- MIT
- Apache 2.0
- Creative Commons
- N/A
Date_of_Publication: When the dataset was made available.
Regulatory_Compliance: >-
Relevant compliance information if the data is subject to specific
regulations (e.g., GDPR, HIPAA).
Presence_of_PII:
Description: Indicate the presence of Personally Identifiable Information (PII).
Choices:
- 'Yes'
- 'No'
- Cannot exclude
Presence_of_copyrighted_material:
Description: Indicate if there is any copyrighted material.
Choices:
- 'Yes'
- 'No'
- Cannot exclude
Technical_Specifications:
Format: The file format(s) of the dataset (e.g., CSV, JSON).
Language: Primary language(s) of the dataset content, using ISO language codes.
Version: Version of the dataset to track updates and changes.
Size: The size of the dataset.
API_Access: Information on how to access the dataset via APIs, if available.
Content_Specifics:
Subjects_Keywords: >-
A set of keywords or subjects describing the dataset’s focus, which aids
in searchability and categorization.
Modality_ies:
Description: Data modality included in the dataset.
Choices:
- Text
- Video
- Audio
- Tabular
- Multimodal
Temporal_Coverage: Time period during which the data was collected.
Geographical_Coverage:
Description: >-
Specifies the geographic area the data pertains to. Providing more
specific details is preferable if known.
Examples: Global, America, Asia, Europe, Italy, China, Morocco.
Data_Quality_and_Methodology:
Data_Collection_Method: >-
Brief description of how the data was collected (e.g., survey, automated
sensor).
Data_Processing_Details: Information on how the data was processed or transformed post-collection.
Quality_Control_Measures: Description of steps taken to ensure data quality.
Evaluation_Protocols: >-
Standard procedures recommended for evaluating models trained on this
dataset, which might include specific metrics or test environments.
Fairness_and_Bias: >-
Information on any efforts made to ensure the dataset is balanced or to
identify and mitigate biases present in the data.
Provenance_and_Lineage:
Source: Origin of the data, if derived from another dataset or source.
Related_Datasets: >-
Links or references to datasets that are related or used in conjunction
with this dataset.